Improvement of the SVM Algorithm for Emotion Recognition: Generalized an earlier work on training linear SVM along with Gabor filters for image classification without information loss to non-linear SVMs.

Gestalt Grouping in Computer Vision: Studied the application of psychology of Gestalt grouping in Computer Vision.

Twitter network: Developed the analytical framework to model the Twitter network by formulating and solving network growth model, and proposed a utility function to assess soft cut-off.

Study of evolving real life bipartite networks (collaboration networks): Studied the degree-distribution of projection graphs of a bipartite networks with one fixed and one infinitely growing set, by forming an analogy with Polya’s urn scheme.

Papers and Projects at BITS Pilani:

2012

Improving the efficiency of SVM in emotion recognition using Genetic Algorithm.Done for the fulfillment of the course: 'Study Oriented Project'

2012

Modeling the popularity of a search keyword in file sharing systems like DC++.Paper selected for presentation in APOGEE, the technical fest of BITS, Pilani.

2012

Optimal Information Flow in BITS friendship Networks: Built a network of students from data collected from facebook and applied Complex Network Analysis.Project selected for presentation in APOGEE, the technical fest of BITS, Pilani.

2010

An Approach to the Lonely Runner Conjecture: Some analysis on the Lonely Runner ConjecturePaper selected for presentation in APOGEE, the technical fest of BITS, Pilani.

Other relevant activities at BITS Pilani:

Delivered a talk on 'Complex Network Analysis' as the Turing Talk of the semester (Each semester one student from Computer Science is selected to deliver a talk). A review on the talk can be found here.

Member of MLSIG (Machine Learning Special Interest Group), which aims at promoting and enhancing the knowledge in Machine Learning through discussion of papers, algorithms and their implementation.